Effect of lean amine temperature on amine gas sweetening: case study and simulation

Abdul-Rahman, R.; Sebastine, I.M.

doi:10.1007/s10553-013-0444-6

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…Before absorbing H 2 S, the amine is referred to as a lean amine, and when it is saturated, it is called rich amine. 19 The rich amine is regenerated through the H 2 S removal process called amine regeneration. 20 In this process, the rich amine that absorbed H 2 S through an exothermic reaction is regenerated by supplying heat energy.…”

Section: Process Descriptionmentioning

confidence: 99%

Techno‐economic comparison of amine regeneration process with heat‐stable amine salt reclaiming units

Lim

Lee

Moon

et al. 2021

Energy Science & Engineering

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Recently, the amount of sulfur compounds such as H 2 S generated in the oil-refining process has increased. 1,2 Removing such compounds from the process is essential because H 2 S is the main cause of air pollution and has a fatal effect on the human body. For example, at 0.0057 ppm in the atmosphere, H 2 S causes eye and nasal symptoms, coughs, and headaches; at 250 ppm, it can damage organs and nervous systems and also deflate cellular metabolism. 3 Therefore, H 2 S should be discarded to avoid environmental pollution and increase process efficiency. Most factories use amine gas sweetening to remove sulfur compounds such as H 2 S generated during the crude-oil refining process. 4 Amines that absorb H 2 S in the amine gas sweetening process are degraded using high temperature in the regenerator and reused; this is called the amine regeneration process. The H 2 S absorption and regeneration mechanism of amines is caused by a difference in pKa; it is absorbed

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Section: Process Descriptionmentioning

confidence: 99%

Techno‐economic comparison of amine regeneration process with heat‐stable amine salt reclaiming units

Lim

Lee

Moon

et al. 2021

Energy Science & Engineering

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“…The results of simulation and economic evaluation are then studied to select the optimum operating conditions for the process's cooler. Although there have been some studies on the effects of lean amine parameters on the performance of the sweetening processes [20], I couldn't find a comprehensive research, studying the suggested target parameters for the selected processes.…”

Section: Issn: 2638-1974mentioning

confidence: 99%

Effects of lean alkanolamine temperature on the performance of CO2 absorption processes using alkanolamine solutions

Kazemi¹

2018

Int J Petrochem Res

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Acid gas removal from the natural gas using alkanolamine processes is the most common technology used for sweetening of natural gas. Based on the sour and sweet gas specifications, several alkanolamine solutions can be used for acid gas removal, all of which are well developed processes. However, one of the remaining issues is the costs associated with the processes. In this study, DEA, DGA and mixed (MDEA+DEA) processes are designed for sweetening the natural gas produced in one of the gas fields having high CO 2 /H 2 S ratio. For each process, seven scenarios are designed to investigate the effects of the cooler's operating parameters on the performance of the process. For each scenario, the duty of the cooler is varied in order to have a specific lean amine temperature entering the absorber. Each scenario is simulated using Aspen HYSYS and economically evaluated using Aspen economic evaluation. Based on the results of this study, the required solution circulation rates slightly increases when the lean amine temperature increases. However, Lower process capital costs and lower cooler's duty were obtained by operating the DEA and DGA processes at higher values of lean amine temperature. Also, operating at lower lean amine temperatures resulted in lower hydrocarbon pick up in case of MDEA+DEA process.

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“…25,26 For postcombustion CO 2 absorption, performance maintenance during varying loads, the effects of start up and load variation, and the effects of energy consumption and reboiler duty on meeting the specifications have been studied via rigorous dynamic models. 26−29 For the gas sweetening process, the absorber and regenerator were modeled in TSWEET, 30 HYSYS, 2,31,32 and ASPEN 33 to study the effects of mixed amine solutions on sour gas absorption from natural gas, 30,31 the effect of the incoming solvent temperature on sour gas absorption, 32 the effects of temperature, solvent circulation rate, and amine concentration on the amine absorption rate, 33 and to determine the nominal process parameters for optimal economics. 2 On the control side, single-input−single-output generalized predictive control 34 and model predictive control 35 have been implemented on a CO 2 absorption column, neglecting the effect of the interactions among different process units in the plant.…”

Section: Introductionmentioning

confidence: 99%

“…Rate-based approaches are more rigorous in general. ,, Several studies have focused on building a realistic rate-based model for the absorption of sour gases in amine solvents with the aim of estimating the enhancement factors in the absorption kinetics, − coupling of interfacial transport processes with material and energy balances in the column, − and gauging dominating film resistances and thermal effects . The modeling of the absorber and the regenerator dynamics has also been a focus of research. , For postcombustion CO 2 absorption, performance maintenance during varying loads, the effects of start up and load variation, and the effects of energy consumption and reboiler duty on meeting the specifications have been studied via rigorous dynamic models. − For the gas sweetening process, the absorber and regenerator were modeled in TSWEET, HYSYS, ,, and ASPEN to study the effects of mixed amine solutions on sour gas absorption from natural gas, , the effect of the incoming solvent temperature on sour gas absorption, the effects of temperature, solvent circulation rate, and amine concentration on the amine absorption rate, and to determine the nominal process parameters for optimal economics…”

Section: Introductionmentioning

confidence: 99%

Distributed Model Predictive Control of an Amine Gas Sweetening Plant

Moharir

Pourkargar

Almansoori

et al. 2018

Ind. Eng. Chem. Res.

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This paper addresses the plant-wide control of the amine gas sweetening plant using distributed model predictive control. The plant is fed natural gas containing sour gases (hydrogen sulfide and carbon dioxide), which are removed by absorption in monoethanolamine solution. A plant decomposition algorithm based on modularity maximization for distributed parameter systems is used to obtain the optimal decomposition for distributed model predictive control. Comparisons are drawn among the performance and computational requirements of distributed, decentralized, and centralized model predictive controls.

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Effect of lean amine temperature on amine gas sweetening: case study and simulation

Cited by 6 publications

References 2 publications

Techno‐economic comparison of amine regeneration process with heat‐stable amine salt reclaiming units

Techno‐economic comparison of amine regeneration process with heat‐stable amine salt reclaiming units

Effects of lean alkanolamine temperature on the performance of CO2 absorption processes using alkanolamine solutions

Distributed Model Predictive Control of an Amine Gas Sweetening Plant

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